Research Scientist, Kaggle
Google (10000+ pracowników)
Programowanie Frontend
Programowanie Backend
Poland
Pełny etat
Law
Doctoral degree
Java
Master's degree
C++
JavaScript
Natural language processing
AI
Python
Mobile devices
AI Solution Architect – GenAI / Agentic AI
Senovo-It
AI i Uczenie Maszynowe
Just Join IT
Warsaw(Poland)
Zdalnie
Senior
30,000 - 32,000 PLN / miesiąc
Python
AI
Event-Driven Architecture
Domain-Driven Design
Langgraph
Langchain
We are looking for an experienced AI Solution Architect with a strong software engineering background and hands-on expertise in Python, Generative AI, LLMs, RAG, and Agentic AI orchestration.
The ideal candidate will have 10+ years of experience designing scalable, enterprise-grade systems, with a strong understanding of Domain-Driven Design (DDD), Event-Driven Architecture (EDA), and modern AI architectures.
Candidates who have designed and delivered AI-powered solutions in production, rather than architects whose experience is limited to strategy, presentations, or proof-of-concept projects.
Location: Remote From Poland
Language: Polish and English
Contract type: B2B only
Key Responsibilities
Design and architect scalable, enterprise-grade GenAI and Agentic AI solutions.
Define solution architecture using DDD, EDA, microservices, and distributed systems.
Design and implement AI agents, multi-agent workflows, and orchestration frameworks.
Architect LLM-based applications, RAG pipelines, and intelligent automation solutions.
Provide hands-on technical leadership in Python development.
Integrate AI components with existing enterprise applications, APIs, and data platforms.
Ensure solutions meet requirements for scalability, security, reliability, performance, and maintainability.
Lead technical discussions, architectural decisions, code reviews, and engineering best practices.
Guide development teams through the implementation and production deployment of AI solutions.
Required Skills & Experience
10+ years of experience in software engineering, solution architecture, or technical leadership.
Strong architectural expertise in Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).
Advanced Python development skills, including backend services and API development.
Hands-on experience with Large Language Models (LLMs) and enterprise GenAI applications.
Strong experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Practical experience with LangGraph (LG) and LangChain (LCH).
Proven expertise in Agentic AI orchestration, including autonomous agents, multi-agent systems, tool calling, and workflow coordination.
Strong knowledge of microservices, REST APIs, distributed systems, and integration patterns.
Experience designing AI solutions for production environments.